At-risk and problem gambling among Finnish youth: The examination of risky alcohol consumption, tobacco smoking, mental health and loneliness as gender-specific correlates

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AIMS - The aims were to compare past-year at-risk and problem gambling (ARPG) and other at-risk behaviours (computer gaming, risky alcohol consumption, tobacco smoking) by age and gender, and to explore how ARPG is associated with risky alcohol consumption, tobacco smoking, poor mental health and loneliness in males and females. DESIGN - Data from respondents aged 15-28 (n = 822) were derived from a cross-sectional random sample of population-based data (n = 4484). The data were collected in 2011-2012 by telephone interviews. The Problem Gambling Severity Index (PGSI, score≥2) was used to evaluate ARPG. Prevalence rates for risk behaviours were compared for within gender-specific age groups. Regression models were gender-specific. RESULTS - The proportion of at-risk and problem gamblers was higher among males than females in all age groups except among 18-21-year-olds, while frequent computer gaming was higher among males in all age groups. The odds ratio (95% CI) of being a male ARPGer was 2.57 (1.40-4.74) for risky alcohol consumption; 1.95 (1.07-3.56) for tobacco smoking; 2.63 (0.96-7.26) for poor mental health; and 4.41 (1.20-16.23) for feeling lonely. Likewise, the odds ratio (95% CI) of being a female ARPGer was 1.19 (0.45-3.12) for risky alcohol consumption; 4.01 (1.43-11.24) for tobacco smoking; 0.99 (0.18-5.39) for poor mental health; and 6.46 (1.42-29.34) for feeling lonely. All 95% CIs of ARPG correlates overlapped among males and females. CONCLUSIONS - Overall, past-year at-risk and problem gambling and computer gaming seem to be more common among males than females; however, for risky alcohol consumption similar gender differences were evident only for the older half of the sample. No clear gender differences were seen in correlates associated with ARPG.

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  • Abbott M. W. & Volberg R. A. (2006). The measurement of adult problem and pathological gambling. International Gambling Studies 6(2) 175-200.

  • American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders Fifth Edition. Arlington VA: American Psychiatric Association.

  • Arnett J. (2000). Emerging adulthood: A theory of development from the late teens through the twenties. American Psychologist 55(5) 469-480.

  • Arnett J. Žukauskiene˙ R. & Sugimura K. (2014). The new life stage of emerging adulthood at ages 18-29 years: Implications for mental health. The Lancet Psychiatry 1(7) 569-576.

  • Bjorklund K. Heiskanen M. & Kokko M. (2011) Opiskelija internetissä - kuin kala vedessä vai kiinni verkossa? Korkeakouluopiskelijoiden rahapelaaminen ja internetin käyttö [Student on the internet: like a fish in water or caught in the net? Higher education student gambling and internet use]. National Institute for Health and Welfare (THL): Report 16/2011. Retrieved from: https://

  • Black D. W. Shaw M. McCormick B. & Allen J. (2013). Pathological gambling: Relationship to obesity self-reported chronic medical conditions poor lifestyle choices and impaired quality of life. Comprehensive Psychiatry 54 97-104.

  • Blaszczynski A. & Nower L. (2002). A Pathways Model of problem and pathological gambling. Addiction 97(5) 487-499.

  • Blinn-Pike L. Worthy S. L. & Jonkman J. N. (2010). Adolescent gambling: A review of an emerging field of research. Journal of Adolescent Health 47(3) 223-236.

  • Brennan L. (1982). Loneliness and adolescence. In L. A. Peplau & D. Perlman (Eds.) Loneliness: A sourcebook of current theory research and therapy (pp. 269-290). New York: John Wiley & Sons.

  • Brunborg G. S. Hansen M. B. & Froyland L. R. (2013). Pengespill og dataspill [Gambling and video gaming]. Norsk institutt for forskning om oppvekst velferd og aldring NOVA Rapport 2/2013. Retrieved from:

  • Burge A. N. Pietrzak R. H. Molina C. A. & Petry N. M. (2004). Age of gambling initiation and severity of gambling and health problems among older adult problem gamblers. Psychiatric Services 55(12) 1437-1439.

  • Bush K. Kivlahan D. R. McDonell M. B. Fihn S. D. & Bradley K. A. (1998). The AUDIT alcohol consumption questions (AUDIT-C): An effective brief screening test for problem drinking. Archives of Internal Medicine 158(16) 1789-1795.

  • Cacioppo J. T. & Hawkley L. C. (2009). Perceived social isolation and cognition. Trends in Cognitive Sciences 13(10) 447-454.

  • Castren S. Basnet S. Salonen A. H. Pankakoski M. Ronkainen J. E. Alho H. & Lahti T. (2013). Factors associated with disordered gambling in Finland. Substance Abuse Treatment Prevention and Policy 8(1) 24.

  • Castren S. Grainger M. Lahti T. Alho H. & Salonen A. H. (2015). At-risk and problem gambling among adolescents: A convenience sample of first-year junior high school students in Finland. Substance Abuse Treatment Prevention and Policy 10(1) 9.

  • Chalmers H. & Willoughby T. (2006). Do predictors of gambling involvement differ across male and female adolescents? Journal of Gambling Studies 22(4) 373-392.

  • Chambers R. A. Taylor J. R. & Potenza M. N. (2003). Developmental neurocircuitry of motivation in adolescence: A critical period of addiction vulnerability. American Journal of Psychiatry 160(6) 1041-1052.

  • Christie-Mizell C. A. & Peralta R. L. (2009). The gender gap in alcohol consumption during late adolescence and young adulthood: Gendered attitudes and adult roles. Journal of Health and Social Behavior 50(4) 410-426.

  • Corney R. & Davis J. (2010). The attractions and risks of Internet gambling for women: A qualitative study. Journal of Gambling Issues 24 121-139.

  • Cummings H. M. & Vandewater E. A. (2007). Relation of adolescent video game play to time spent in other activities. Archives of Pediatrics & Adolescent Medicine 161(7) 684-689.

  • Dawson D. A. Grant B. F. Stinson F. S. & Zhou Y. (2005). Effectiveness of the derived alcohol use disorders identification test (AUDIT-C) in screening for alcohol use disorders and risk drinking in the US general population. Alcoholism: Clinical and Experimental Research 29(5) 844-854.

  • Delfabbro P. King D. & Griffiths M. D. (2014). From adolescent to adult gambling: An analysis of longitudinal gambling patterns in South Australia. Journal of Gambling Studies 30(3) 547-563.

  • Donati M. A. Chiesi F. & Primi C. (2013). A model to explain at-risk/problem gambling among male and female adolescents: Gender similarities and differences. Journal of Adolescence 36(1) 129-137.

  • Ellenbogen S. Derevensky J. & Gupta R. (2007). Gender differences among adolescents with gambling-related problems. Journal of Gambling Studies 23(2) 133-143.

  • Ferris J. & Wynne H. 2001. The Canadian Problem Gambling Index: Final report. Ottawa: Canadian Centre on Substance Abuse (CCSA).

  • Gelman A. & Stern H. (2006). The difference between “significant” and “not significant” is not itself statistically significant. The American Statistician 60(4) 328-331.

  • Grant J. E. Kim S. W. Odlaug B. L. & Potenza M. N. (2008). Daily tobacco smoking in treatment-seeking pathological gamblers: Clinical correlates and cooccurring psychiatric disorders. Journal of Addiction medicine 2(4) 178-184.

  • Grant J. E. Odlaug M. P. H. & Mooney M. E. (2012). Telescoping phenomenon in pathological gambling: Association with gender and comorbidities. J Nerv Ment Dis 200(11) 996-998.

  • Griffiths M. (1997). Computer game playing in early adolescence. Youth & Society 29(2) 223-237.

  • Griffiths M. D. Davies M. N. & Chappell D. (2004). Demographic factors and playing variables in online computer gaming. CyberPsychology & Behavior 7(4) 479-487.

  • Gupta R. & Derevensky J. L. (2011). Understanding the etiology of youth gambling. In J. L. Derevensky D. T. L. Shek & J. Merrick (Eds.) Youth gambling: The hidden addiction (pp. 7-17). Berlin: de Gruyter.

  • Grusser S. M. Thalemann R. & Griffiths M. D. (2007). Excessive computer game playing: Evidence for addiction and aggression? CyberPsychology & Behavior 10(2) 290-292.

  • Hakkarainen P. Metso L. & Salasuo M. (2010). Hamppuikapolvi sekakaytto ja doping. [The hemp generation mixed use and doping: results from the 2010 Drug Survey]. Yhteiskuntapolitiikka 76(4) 397-412.

  • Hanss D. Mentzoni R. A. Blaszczynski A. Molde H. Torsheim T. & Pallesen S. (2015). Prevalence and correlates of problem gambling in a representative sample of Norwegian 17-year-olds. Journal of Gambling Studies 31 659-678.

  • Hardoon K. K. & Derevensky J. L. (2001). Social influences involved in children’s gambling behavior. Journal of Gambling Studies 17(3) 191-215.

  • Hardoon K. K. Gupta R. & Derevensky J. L. (2004). Psychosocial variables associated with adolescent gambling. Psychology of Addictive Behaviors 18(2) 170-179.

  • Hasin D. S. Stinson F. S. Ogburn E. & Grant B. F. (2007). Prevalence correlates disability and comorbidity of DSM-IV alcohol abuse and dependence in the United States: Results from the National Epidemiologic Survey on Alcohol and Related Conditions. Archives of General Psychiatry 64(7) 830-842.

  • Hawkley L. C. & Cacioppo J. T. (2010). Loneliness matters: A theoretical and empirical review of consequences and mechanisms. Annals of Behavioral Medicine 40(2) 218-227.

  • Helldan A. Helakorpi S. Virtanen S. & Uutela A. (2013). Health behaviour and health among the Finnish adult population. National Institute for Health and Welfare (THL) Report 15/2013. Retrieved from:

  • Hing N. Russell A. Tolchard B. & Nower L. (2014). A comparative study of men and women gamblers in Victoria. Victoria Australia: Victorian Responsible Gambling Foundation. Retrieved from:

  • Hodgins D. C. Stea J. N. & Grant J. E. (2011). Gambling disorders. The Lancet 378(9806) 1874-1884.

  • Holtz P. & Appel M. (2011). Internet use and video gaming predict problem behavior in early adolescence. Journal of Adolescence 34(1) 49-58.

  • Jimenez-Murcia S. Alvarez-Moya E. M. Stinchfield R. Fernandez-Aranda F. Granero R. Aymami N. ... & Menchon J. M. (2010). Age of onset in pathological gambling: Clinical therapeutic and personality correlates. Journal of Gambling Studies 26(2) 235-248.

  • Johansson A. Grant J. E. Kim S. W. Odlaug B. L. & Gotestam K. G. (2009). Risk factors for problematic gambling: A critical literature review. Journal of Gambling Studies 25(1) 67-92.

  • Junttila N. Kainulainen S. & Saari J. (2015). Mapping the lonely landscape: Assessing loneliness and its consequences. The Open Psychology Journal 8(1) 89-96.

  • Jarvinen-Tassopoulos J. & Metso L. (2009). Pojat ovat pelimiehia tytot rahapelien harrastajia: vuoden 2007 ESPADkoululaiskyselyn tulosten tarkastelua. [Boys are players girls are dilettantes: reviewing the results of the ESPAD school survey 2007]. Yhteiskuntapolitiikka 74(5) 523-536.

  • Jarvinen-Tassopoulos J. & Raitasalo K. (2015). Ikarajoja ja rajojen kokeilua. Raha-automaattipeleja pelaavien 9.-luokkalaisten alkoholin kannabiksen ja tupakkatuotteiden kaytto vuosina 1995-2011. [Age limits and kicking over the traces. The use of alcohol cannabis and tobacco products among slot machine playing 9th graders in 1995-2011] Yhteiskuntapolitiikka 80(2) 160-172.

  • Kaarne T. Aalto M. Kuokkanen M. & Seppa K. (2010). AUDIT-C AUDIT-3 and AUDIT-QF in screening risky drinking among Finnish occupational health-care patients. Drug and Alcohol Review 29(5) 563-567.

  • Kelly M. J. Dunstan F. D. Lloyd K. & Fone D. L. (2008). Evaluating cutpoints for the MHI-5 and MCS using the GHQ-12: A comparison of five different methods. BMC Psychiatry 8(1) 10.

  • Kong G. Tsai J. Pilver C. E. Tan H. S. Hoff R. A. Cavallo D. A. & Potenza M. N. (2013). Differences in problem gambling severity and health/functioning characteristics among Asian-American and Caucasian high-school students. Psychiatry Research 210(3) 1071-1078.

  • Kristiansen S. G. & Jensen S. M. (2014). Prevalence and correlates of problematic gambling among Danish adolescents. International Journal of Social Welfare 23 89-99.

  • Ladd G. T. & Petry N. M. (2002). Gender differences among pathological gamblers seeking treatment. Experimental & Clinical Psychopharmacology 10(3) 302-309.

  • Lauder W. Mummery K. Jones M. & Caperchione C. (2006). A comparison of health behaviours in lonely and nonlonely populations. Psychology Health & Medicine 11(2) 233-245.

  • Lorains F. K. Cowlishaw S. & Thomas S. A. (2011). Prevalence of comorbid disorders in problem and pathological gambling: Systematic review and meta-analysis of population surveys. Addiction 106(3) 490-498.

  • Luhtala K. Silvennoinen I. & Tenkanen T. (2012). Pelaavat nuoret Vantaalla. Selvitys vantaalaisten koululaisten pelaamisesta ja pelihaitoista [Adolescent gaming in Vantaa. Report on the gaming and harms caused by gaming among students living in Vantaa]. Finnish Association for Substance Abuse Prevention (EHYT ry).

  • Luopa P. Kivimaki H. Matikka A. Vilkki S. Jokela J. Laukkarinen E. & Paananen R. (2014). Nuorten hyvinvointi Suomessa 2000-2013. Kouluterveyskyselyn tulokset [Well-being of adolescents in Finland 2000-2013. The results of the School Health Promotion study]. National Institute for Health and Welfare (THL). Report 25/2014. Retrieved from

  • Mayer J. & Filstead W. J. (1979). The Adolescent Alcohol Involvement Scale. An instrument for measuring adolescents’ use and misuse of alcohol. Journal of Studies on Alcohol 40(3) 291-300.

  • Molde H. Pallesen S. Bartone P. Hystad S. & Johnsen B. H. (2009). Prevalence and correlates of gambling among 16 to 19-yearold adolescents in Norway. Scandinavian Journal of Psychology 50(1) 55-64.

  • Makela P. & Harkonen J. (2010). Miten juominen muuttuu ian myota? [How does drinking change with age?] In P. Makela H. Mustonen & C. Tigerstedt (Eds.). Suomi juo. Suomalaisten alkoholinkäyttö ja sen muutokset 1968-2008 [Finland drinks. Finnish alcohol consumption and its changes in 1968-2008]. National Institute for Health and Welfare (THL). Yliopistopaino: Helsinki 2010. Retrieved from:

  • Nelson S. E. LaPlante D. A. LaBrie R. A. & Shaffer H. J. (2006). The proxy effect: Gender and gambling problem trajectories of Iowa Gambling Treatment Program participants. Journal of Gambling Studies 22(2) 221-240.

  • Nower L. & Blaszczynski A. (2004). The Pathways Model as harm minimization for youth gamblers in educational settings. Child and Adolescent Social Work Journal 21(1) 25-45.

  • Nuorisolaki 72/2006. [Youth law]. Retrieved from

  • Odlaug B. L. Stinchfield R. Golberstein E. & Grant J. E. (2013). The relationship of tobacco use with gambling problem severity and gambling treatment outcome. Psychology of Addictive Behaviors 27(3) 696-704.

  • Petry N. M. Stinson F. S. & Grant B. F. (2005). Comorbidity of DSMIV pathological gambling and other psychiatric disorders: Results from the National Epidemiologic Survey on Alcohol and Related Conditions. The Journal of Clinical Psychiatry 66(5) 564-574.

  • Pontes H. M. & Griffiths M. (2015). Measuring DSM-5 Internet Gambling Disorder. Development and validation of short psychometric scale. Computers in Human Behavior 45 137-143. DOI 10.1016/j.chb.2014.12.006

  • Pontes H. M. Kiraly O. Demetrovics Z. & Griffiths M. D. (2014). The conceptualisation and measurement of DSM-5 Internet Gaming Disorder: The development of the IGD-20 Test. PLoS ONE 9(10): e110137. DOI 10.1371/journal. pone.0110137

  • Porter J. Ungar J. Frisch G. R. & Chopra R. (2004). Loneliness and life dissatisfaction in gamblers. Journal of Gambling issues 11 1-22.

  • Potenza M. N. Steinberg M. A. McLaughlin S. D. Wu R. Rounsaville B. J. & O’Malley S. S. (2001). Gender-related differences in the characteristics of problem gamblers using a gambling helpline. American Journal of Psychiatry 158(9) 1500-1505.

  • Poulin C. (2002). An assessment of the validity and reliability of the SOGS-RA. Journal of Gambling Studies 18(1) 67-93.

  • Raisamo S. Halme J. Murto A. & Lintonen T. (2013). Gambling-related harms among adolescents: A population-based study. Journal of Gambling Studies 29(1) 151-159.

  • Raisamo S. & Salonen A. H. (2013). Muutokset 15-64-vuotiaiden suomalaisten rahapelaamisessa vuosina 2003-2011. [Changes in Finnish 15-64 year-olds’ gambling in 2003-2011] Yhteiskuntapolitiikka 78(5) 544-553.

  • Raylu N. & Oei T. P. (2002). Pathological gambling: A comprehensive review. Clinical Psychology Review 22(7) 1009-1061.

  • Rimpela A. (2010). Kolme vuosikymmenta nuorten terveystapaseurantaa - nakyyko megatrendeja? [Three decades of youth health habit monitoring: are there megatrends?] In T. Stahl & A. Rimpela (Eds.) Terveyden edistäminen tutkimuksen ja päätöksenteon haasteena [Health enhancement as a challenge of research and decision making] (pp. 93-106). THL. Helsinki: Yliopistopaino.

  • Rokach A. (2012). Loneliness updated: An introduction. Journal of Psychology: Interdisciplinary and Applied 146 1-6.

  • Rumpf H. J. Meyer C. Hapke U. & John U. (2001). Screening for mental health: Validity of the MHI-5 using DSM-IV Axis I psychiatric disorders as gold standard. Psychiatry Research 105(3) 243-253.

  • Rasanen T. Lintonen T. Joronen K. & Konu A. (2015a). Girls and boys gambling with health and well-being in Finland. Journal of School Health 85(4) 214-222.

  • Rasanen T. Lintonen T. Raisamo S. Rimpela A. & Konu A. (2015b). Gambling violent behaviour and attitudes towards violence among adolescent gamblers in Finland. Nordic Studies on Alcohol and Drugs 32(5) 465-477.

  • Salonen A. H. Castren S. Raisamo S. Orford J. Alho H. & Lahti T. (2014). Attitudes towards gambling in Finland: A cross-sectional population study. BMC Public Health 14(1) 982.

  • Salonen A. & Raisamo S. (2015). Suomalaisten rahapelaaminen 2015. Rahapelaaminen rahapeliongelmat ja rahapelaamiseen liittyvät asenteet ja mielipiteet 15-74-vuotiailla [Finnish gambling 2015. Gambling gambling problems and attitudes and opinions on gambling among Finns aged 15-74]. National Institute for Health and Welfare (THL). Report 16/2015. Retrieved from:

  • Schinka K. C. Van Dulmen M. H. M. Bossarte R. & Swahn M. (2012). Association between loneliness and suicidality during middle childhood and adolescence: Longitudinal effects and the role of demographic characteristics. Journal of Psychology: Interdisciplinary and Applied 146 105-118.

  • Schulenberg J. E. & Maggs J. L. (2002). A developmental perspective on alcohol use and heavy drinking during adolescence and the transition to young adulthood. Journal of Studies on Alcohol Supplement(14) 54-70.

  • Schulte M. T. Ramo D. & Brown S. A. (2009). Gender differences in factors influencing alcohol use and drinking progression among adolescents. Clinical Psychology Review 29(6) 535-547.

  • Spelvins K. Mireskandri S. Clayton K. & Blaszczynsky A. (2010). Prevalence of adolescent problem gambling related harms and help-seeking behaviours among Australian population. Journal of Gambling Studies 26 189-204.

  • Staff J. Schulenberg J. E. Maslowsky J. Bachman J. G. O’Malley P. M. Maggs J. L. & Johnston L. D. (2010). Substance use changes and social role transitions: Proximal developmental effects on ongoing trajectories from late adolescence through early adulthood. Development and Psychopathology 22(04) 917-932.

  • Statens folkhalsoinstitut (2010). Spel om pengar och spelproblem i Sverige 2008/2009: Huvudresultat från SWELOGS befolkningsstudie [Gambling and gambling problems in Sweden 2008/2009: Main results from the SWELOGS population study]. Ostersund: Statens folkhalsoinstitut.

  • Stinchfield R. (2010). A critical review of adolescent problem gambling assessment instruments. International Journal of Adolescent Medicine and Health 22(1) 77-93.

  • Stone A. L. Becker L. G. Huber A. M. & Catalano R. F. (2012). Review of risk and protective factors of substance use and problem use in emerging adulthood. Addictive Behaviors 37(7) 747-775.

  • Svensson J. Romild U. Nordenmark M. & Mansdotter A. (2011). Gendered gambling domains and changes in Sweden. International Gambling Studies 11(2) 193-211.

  • Swendsen J. & Le Moal M. (2011). Individual vulnerability to addiction. Annals of the New York Academy of Sciences 1216(1) 73-85.

  • Tavares H. Carneiro E. Sanches M. Pinsky I. Caetano R. Zaleski M. & Laranjerira R. (2010). Gambling in Brazil: Lifetime prevalences and sociodemographic correlates. Psychiatry Research 180 35-41.

  • Tavares H. Zilberman M. L. Beites F. J. & Gentil V. (2001). Brief communications: Gender differences in gambling progression. Journal of Gambling Studies 17(2) 151-159.

  • Theunissen M. J. Jansen M. & van Gestel A. (2011). Are mental health and binge drinking associated in Dutch adolescents? Cross-sectional public health study. BMC Research Notes 4(1) 100.

  • Tremblay J. Stinchfield R. Wiebe J. & Wynne H. (2010). Canadian Adolescent Gambling Inventory (CAGI) Phase III Final Report. Alberta Gaming Research Institute. Retrieved from:

  • Turja T. Halme J. Mervola M. Jarvinen- Tassopoulos J. & Ronkainen J. E. (2012). Suomalaisten rahapelaaminen 2011 [Finnish gambling 2011]. National Institute for Health and Welfare (THL). Report 14/2012. Retrieved from

  • United Nations Secretariat (1981). Secretary- General’s report to the General Assembly A/36/215 1981.

  • Veit C. T. & Ware J. E. (1983). The structure of psychological distress and well-being in general populations. Journal of Consulting and Clinical Psychology 51(5) 730-742.

  • Volberg R. A. Gupta R. Griffiths M. D. Olason D. T. & Delfabbro P. (2010). An international perspective on youth gambling prevalence studies. International Journal of Adolescent Medicine and Health 22(1) 3-38.

  • Walker G. J. Hinch T. D. & Weighill A. J. (2005). Inter-and intra-gender similarities and differences in motivations for casino gambling. Leisure Sciences 27(2) 111-130.

  • Wardle H. Sproston K. Orford J. Erens B. Griffiths M. Constantine R. & Pigott S. British gambling prevalence survey 2007. National Centre for Social Research prepared for the Gambling Commission September 2007. Retrieved from: http://

  • Ware J. E. & Gandek B. (1998). Overview of the SF-36 health survey and the international quality of life assessment (IQOLA) project. Journal of Clinical Epidemiology 51(11) 903-912.

  • Warpenius K. Holmila M. & RaitasaloK. (2012). Peliin ei puututa: Alkoholin tupakan ja rahapeliautomaattien ikarajavalvontaa testanneet ostokokeet vahittaisliikkeissa. [Enforcing age limits on purchases of alcohol and tobacco and the use of slot machines: test purchases in retail outlets]. Yhteiskuntapolitiikka 77 375-85.

  • Weinberger A. H. Franco C. A. Hoff R. A. Pilver C. Steinberg M. A. Rugle L. … & Potenza M. (2015). Cigarette smoking problem gambling severity and health behaviours in high-school students. Addictive Behaviours Reports 1 40-48.

  • Williams R. J. Hann R. G. Schopflocher D. West B. McLaughlin P. White N. … & Flexhaug T. (2015). Quinte longitudinal study of gambling and problem gambling. Ontario: Ontario Problem Gambling Research Centre. Retrieved from

  • Williams R. J. Volberg R. A. & Stevens R. M. (2012). The population prevalence of problem gambling: Methodological influences standardized rates jurisdictional differences and worldwide trends. Ontario: Ontario Problem Gambling Research Centre. Retrieved from

  • Wood R. T. A. Gupta R. Derevensky J. L. & Griffiths M. (2004). Video game playing and gambling in adolescents: Common risk factors. Journal of Child & Adolescent Substance Abuse 14(1) 77-100.

  • World Health Organization (2013). European tobacco control status report 2013. Retrieved from

  • Yip S. W. Desai R. A. Steinberg M. A. Ruglke L. Cavallo D. A. Krisnan-Sarin S. & Potenza M. N. (2011). Health/functioning characteristics gambling behaviours and gambling related motivations and adolescents stratified by gambling problem severity: Findings from a highschool survey. The American Journal of Addictions 20 495-508.

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